Marco Arment

Yeah. Bringing it back to DeepSeek, though. This is a song about DeepSeek. What this disruption was with DeepSeek coming on the scene and showing this huge reduction in cost, this is just what computer development looks like. We find when we have new...

Yeah. Bringing it back to DeepSeek, though. This is a song about DeepSeek. What this disruption was with DeepSeek coming on the scene and showing this huge reduction in cost, this is just what computer development looks like. We find when we have new...

software areas we do things a certain way and then people find optimizations and one of the most delightful things about software development is that when you find optimization oftentimes it's like oh this is now a hundred times faster or It can be dramatically better or dramatically faster or dramatically smaller.

software areas we do things a certain way and then people find optimizations and one of the most delightful things about software development is that when you find optimization oftentimes it's like oh this is now a hundred times faster or It can be dramatically better or dramatically faster or dramatically smaller.

Finding new types of compression or faster algorithms that can reduce the order of magnitude of a function. Stuff like that. That's just how computers go. So what's interesting about this deep-seek thing is that this is an area where AI model training and model inference are just so unbelievably inefficient in terms of resources used.

Finding new types of compression or faster algorithms that can reduce the order of magnitude of a function. Stuff like that. That's just how computers go. So what's interesting about this deep-seek thing is that this is an area where AI model training and model inference are just so unbelievably inefficient in terms of resources used.

The amount of computing power and just hardware and electrical power and the amount of grunt of resource usage needed to make an LLM do anything or to train an LLM in the first place is so unbelievably massive. that when we find optimizations like this, it shakes the entire market.

The amount of computing power and just hardware and electrical power and the amount of grunt of resource usage needed to make an LLM do anything or to train an LLM in the first place is so unbelievably massive. that when we find optimizations like this, it shakes the entire market.

I don't think we've had anything like that in computing for a very long time, where just the normal process of software maturation and software advancement...

I don't think we've had anything like that in computing for a very long time, where just the normal process of software maturation and software advancement...

It's like when the BlackBerry CEO thought the iPhone demos were faked.

It's like when the BlackBerry CEO thought the iPhone demos were faked.

Yeah, but look, I mean, do you think the U.S. is that far from that? Like, do you think we're that far from, like, it has always been called Mount McKinley? Like, we're not that far from that.

Yeah, but look, I mean, do you think the U.S. is that far from that? Like, do you think we're that far from, like, it has always been called Mount McKinley? Like, we're not that far from that.

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So we're sponsored by our members this week. You can be one too, atp.fm slash join. On this week's overtime bonus topic, we'll be talking about the Sonos leadership and kind of upper level shakeup that's been happening and what we think Sonos is, what's going on there and what we think they should do. That'll be an overtime shortly for members and you can hear it too, atp.fm slash join.

Thank you everybody for listening and we'll talk to you next week.

Thank you everybody for listening and we'll talk to you next week.